Merge remote-tracking branch 'origin/base' into base_增加WTconv
# Conflicts: # test_IVF.py
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commit
8383c68ff7
@ -17,14 +17,16 @@ current_time = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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os.environ["CUDA_VISIBLE_DEVICES"] = "0"
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ckpt_path= r"/home/star/whaiDir/PFCFuse/models/whaiFusion11-17-10-34.pth"
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pth_path = "whaiFusion11-15-17-48"
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ckpt_path= r"/home/star/whaiDir/PFCFuse/models/"+pth_path+".pth"
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print("path_pth:{}".format(ckpt_path))
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for dataset_name in ["sar"]:
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for dataset_name in ["sar"]:
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print("\n"*2+"="*80)
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print("\n"*2+"="*80)
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model_name="PFCFuse Enhance 增加widthblock"
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model_name="PFCFuse 最基本版本 "
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print("The test result of "+dataset_name+' :')
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print("The test result of "+dataset_name+' :')
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test_folder = os.path.join('test_img', dataset_name)
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test_folder = os.path.join('test_img', dataset_name)
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test_out_folder=os.path.join('test_result',current_time,dataset_name)
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test_out_folder=os.path.join('test_result',pth_path,dataset_name)
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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device = 'cuda' if torch.cuda.is_available() else 'cpu'
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Encoder = nn.DataParallel(Restormer_Encoder()).to(device)
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Encoder = nn.DataParallel(Restormer_Encoder()).to(device)
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4
train.py
4
train.py
@ -262,5 +262,7 @@ if True:
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'BaseFuseLayer': BaseFuseLayer.state_dict(),
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'BaseFuseLayer': BaseFuseLayer.state_dict(),
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'DetailFuseLayer': DetailFuseLayer.state_dict(),
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'DetailFuseLayer': DetailFuseLayer.state_dict(),
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}
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}
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torch.save(checkpoint, os.path.join("models/whaiFusion"+timestamp+'.pth'))
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savepth = os.path.join("models/whaiFusion" + timestamp + '.pth');
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torch.save(checkpoint, savepth)
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print("save model:{}".format(savepth))
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